Evidence map›Paper›PMID 26425189›Full record

ArticleBeilstein journal of organic chemistry2015

Synthesis and evaluation of the biostability and cell compatibility of novel conjugates of nucleobase, peptidic epitope, and saccharide.

Dan Yuan, Xuewen Du, Junfeng Shi, Ning Zhou, Abdulgader Ahmed Baoum, Khalid Omar Al Footy, Khadija Omar Badahdah, Bing Xu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Beilstein journal of organic chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Dan YuanDepartment of Chemistry, Brandeis University, 415 South Street, MS015, Waltham, MA 02453, USA.
Xuewen DuDepartment of Chemistry, Brandeis University, 415 South Street, MS015, Waltham, MA 02453, USA.
Junfeng ShiDepartment of Chemistry, Brandeis University, 415 South Street, MS015, Waltham, MA 02453, USA.
Ning ZhouDepartment of Chemistry, Brandeis University, 415 South Street, MS015, Waltham, MA 02453, USA.
Abdulgader Ahmed BaoumDepartment of Chemistry, King Abdulaziz University, Jeddah, Saudi Arabia.
Khalid Omar Al FootyDepartment of Chemistry, King Abdulaziz University, Jeddah, Saudi Arabia.
Khadija Omar BadahdahDepartment of Chemistry, King Abdulaziz University, Jeddah, Saudi Arabia.
Bing XuDepartment of Chemistry, Brandeis University, 415 South Street, MS015, Waltham, MA 02453, USA.

Funding

Subcellular Enzyme-instructed self-assembly for molecular anticancer nanomedicinesR01CA142746 · NCI · BRANDEIS UNIVERSITY · PI Bing Xu · 2010 to 2026
$6.4M
NCI NIH HHS R01 CA142746
6 · The paper itself

Abstract

This article reports the synthesis of a new class of conjugates containing a nucleobase, a peptidic epitope, and a saccharide and the evalution of their gelation, biostability, and cell compatibility. We demonstrate a facile synthetic process, based on solid-phase peptide synthesis of nucleopeptides, to connect a saccharide with the nucleopeptides for producing the target conjugates. All the conjugates themselves (1-8) display excellent solubility in water without forming hydrogels. However, a mixture of 5 and 8 self-assembles to form nanofibers and results in a supramolecular hydrogel. The proteolytic stabilities of the conjugates depend on the functional peptidic epitopes. We found that TTPV is proteolytic resistant and LGFNI is susceptible to proteolysis. In addition, all the conjugates are compatible to the mammalian cells tested.

Indexed as

biocompatibilitybiostabilitynucleobasepeptidic epitopesaccharide

Identifiers

PMID26425189
PMCPMC4578436

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.